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Finance
Introduction to Handling Financial Data with R and QuantMod.
In this tutorial, we will explore how to handle financial data using R, particularly focusing on the quantmod package. This package is designed for quantitative financial modeling and provides tools for downloading financial data, charting, and applying [...] -
Sport
Scoring Goals with R: WorldfootballR tuto part 2
In the previous tutotrial we have seen functions to call data from FBREF. However, to enhance our analysis capabilities, we’ll also delve into Understat and Transfermarkt, which complement FBREF by offering additional datasets and insights. [...] -
Sport
Scoring Goals with R: WorldfootballR tuto part 1
WorldFootballR is a powerful tool for exploring European football data. From historical records to up-to-date statistics, the package provides a wealth of information for analyzing team, player, and match performance. These data mainly come from [...] -
Data Science
Exploring Data Science with R: Why R
The Essential Tool for Data Science and Statistical Analysis R is a powerful and versatile programming language widely recognized for its capabilities in statistical computing and data analysis. Originally developed by statisticians, R has evolved [...]
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In this tutorial, we will explore how to handle financial data using R, particularly focusing on the quantmod package. This package is designed for quantitative financial modeling and provides tools for downloading financial data, charting, and applying [...]
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